Description

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Statistical pattern recognition is currently a very active area of study and research. This text provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. It provides a valuable link between the application areas - such as database design, artificial neural networks, and decision support - and the more diverse theoretical topics available to the practitioner or researcher. It is very up-to-date and covers the latest state-of-the-art techniques.